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Record W4402373814 · doi:10.3390/healthcare12171791

Physical Exercise Prevents the Cognitive Decline among Older Adults in Romania

2024· article· en· W4402373814 on OpenAlexaboutno aff
Andrei Ciobîcă, Romeo Dobrin, Alin Iordache, Ioannis Mavroudis, Cezar Honceriu, Antoneta Dacia Petroaie, Veronica Bild, Alexandru Vasincu, Răzvan-Nicolae Rusu, Alin Ciobîcă, Walther Bild

Bibliographic record

VenueHealthcare · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsCognitionCognitive declineGerontologyMontreal Cognitive AssessmentPopulationMedicineEffects of sleep deprivation on cognitive performancePhysical exercisePhysical therapyPsychologyCognitive impairmentDementiaEnvironmental healthPsychiatryDisease

Abstract

fetched live from OpenAlex

Cognitive decline is one of the most important challenges related to the aging process, due to its important impact on individuals. Several studies have reported that physical exercise with a specific intensity and frequency is beneficial for maintaining cognitive health in the ageing population. The present study investigated the impact of general physical exercise on cognitive health in the older population in Romania. The study involved 60 individuals (60% male, 40% female), with a mean age of 60.78 years (SD = 2.97). The Health Interview Survey and The Minnesota Heart Survey assessed exercise frequency and intensity, while the Montreal Cognitive Assessment (MoCA) determined mild cognitive impairment (MCI) levels. The results of the statistical analysis showed that high-intensity physical exercise at a frequency of three to four times a week at the age of 40-50 years is recommended in order to significantly reduce cognitive decline. In addition, for the age of 60 years old, the results established that engaging in physical activities of a moderate intensity with a frequency of 2-3 times per month is sufficient to maintain healthy cognition. The findings suggest that exercise can serve as a behavioral intervention to mitigate cognitive dysfunction and complement past research on its cognitive health advantages.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.227
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.016
GPT teacher head0.366
Teacher spread0.349 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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